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Thomas Lohnes // Getty Images
Thomas Lohnes // Getty Images

Behold, the Sideways Elevator

Thomas Lohnes // Getty Images
Thomas Lohnes // Getty Images

Elevator company ThyssenKrupp has developed a "sideways elevator" known as MULTI. In many respects it's similar to a standard elevator—it's a car that's designed to move people between floors in buildings. But this elevator has two key engineering differences. First, it uses motors on tracks to move the cars, rather than a cable pulling the cars up and down. Second, the tracks themselves can rotate or be built in orientations that aren't just up and down. That last bit is what makes this so interesting.

In a conventional elevator setup, architects devote a columnar portion of the building to elevator shafts. Those are then outfitted with cabling and motors to move the elevator cars up and down between floors. There's plenty of fancy math engineers build in to optimize the availability and speed of those elevators. But typically, the biggest limitation is that for each elevator shaft, there is just one elevator car. (There are multi-car-per-shaft elevators known as "twin elevators," but the cars generally block one another in the shaft.)

MULTI allows multiple cars per shaft, with the ability to scoot cars sideways as needed, or even to build a zig-zagging shaft structure. This allows cars to get out of the way of each other, enabling all kinds of interesting algorithmic changes. The system could put multiple cars near high-traffic areas—and those areas might change based on time of day or other factors. Priority cars might be able to zip along, while others moved to the side to wait. A car might move sideways and enter another shaft, if that would create a faster path. Or imagine a dual-tower building—it could have a sideways elevator shaft (or many of them) to connect the towers. Imagine the time savings in traveling between upper floors of the two buildings, when such a linkage exists! As a broad concept, MULTI basically removes the idea of the elevator "shaft" and replaces it with something more like lanes on a road—and adds the ability to move along two axes rather than just one.

In the video below, Tom Scott visits a ThyssenKrupp testing tower to learn how it works. (He also makes it clear this is not sponsored content—it's a genuinely fascinating bit of engineering. It does seem the company is doing its public relations homework, though, as the first functional unit went online on June 22, 2017 in Rottweil, Germany.)

Behold:

If video isn't your thing, read up on the technology. While it will be many years before this kind of technology becomes commonplace, you may be able to tell your kids: "In my day, elevators only went up and down!"

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WWF
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Animals
Watch an Antarctic Minke Whale Feed in a First-of-Its-Kind Video
WWF
WWF

New research from the World Wildlife Fund is giving us a rare glimpse into the world of the mysterious minke whale. The WWF worked with Australian Antarctic researchers to tag minke whales with cameras for the first time, watching where and how the animals feed.

The camera attaches to the whale's body with suction cups. In the case of the video below, the camera accidentally slid down the side of the minke whale's body, providing an unexpected look at the way its throat moves as it feeds.

Minke whales are one of the smallest baleen whales, but they're still pretty substantial animals, growing 30 to 35 feet long and weighing up to 20,000 pounds. Unlike other baleen whales, though, they're small enough to maneuver in tight spaces like within sea ice, a helpful adaptation for living in Antarctic waters. They feed by lunging through the sea, gulping huge amounts of water along with krill and small fish, and then filtering the mix through their baleen.

The WWF video shows just how quickly the minke can process this treat-laden water. The whale could lunge, process, and lunge again every 10 seconds. "He was like a Pac-Man continuously feeding," Ari Friedlaender, the lead scientist on the project, described in a press statement.

The video research, conducted under the International Whaling Commission's Southern Ocean Research Partnership, is part of WWF's efforts to protect critical feeding areas for whales in the region.

If that's not enough whale for you, you can also watch the full 13-minute research video below:

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iStock
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technology
AI Could Help Scientists Detect Earthquakes More Effectively
iStock
iStock

Thanks in part to the rise of hydraulic fracturing, or fracking, earthquakes are becoming more frequent in the U.S. Even though it doesn't fall on a fault line, Oklahoma, where gas and oil drilling activity doubled between 2010 and 2013, is now a major earthquake hot spot. As our landscape shifts (literally), our earthquake-detecting technology must evolve to keep up with it. Now, a team of researchers is changing the game with a new system that uses AI to identify seismic activity, Futurism reports.

The team, led by deep learning researcher Thibaut Perol, published the study detailing their new neural network in the journal Science Advances. Dubbed ConvNetQuake, it uses an algorithm to analyze the measurements of ground movements, a.k.a. seismograms, and determines which are small earthquakes and which are just noise. Seismic noise describes the vibrations that are almost constantly running through the ground, either due to wind, traffic, or other activity at surface level. It's sometimes hard to tell the difference between noise and legitimate quakes, which is why most detection methods focus on medium and large earthquakes instead of smaller ones.

But better understanding natural and manmade earthquakes means studying them at every level. With ConvNetQuake, that could soon become a reality. After testing the system in Oklahoma, the team reports it detected 17 times more earthquakes than what was recorded by the Oklahoma Geological Survey earthquake catalog.

That level of performance is more than just good news for seismologists studying quakes caused by humans. The technology could be built into current earthquake detection methods set up to alert the public to dangerous disasters. California alone is home to 400 seismic stations waiting for "The Big One." On a smaller scale, there's an app that uses a smartphone's accelerometers to detect tremors and alert the user directly. If earthquake detection methods could sense big earthquakes right as they were beginning using AI, that could afford people more potentially life-saving moments to prepare.

[h/t Futurism]

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